Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3676
Missing cells	6705
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	632.0 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1801 (49.0%) missing values	Missing
`built_up_area` has 1986 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73144638)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.32675538)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 480 (13.1%) zeros	Zeros

Reproduction

Analysis started	2024-08-21 15:46:20.271924
Analysis finished	2024-08-21 15:46:24.733566
Duration	4.46 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

property_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.5 KiB

flat	2817
house	859

Length

Max length	5
Median length	4
Mean length	4.2336779
Min length	4

Characters and Unicode

Total characters	15563
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	house
5th row	house

Common Values

Value	Count	Frequency (%)
flat	2817	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2817	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2817	18.1%
l	2817	18.1%
a	2817	18.1%
t	2817	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15563	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2817	18.1%
l	2817	18.1%
a	2817	18.1%
t	2817	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15563	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2817	18.1%
l	2817	18.1%
a	2817	18.1%
t	2817	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15563	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2817	18.1%
l	2817	18.1%
a	2817	18.1%
t	2817	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	675
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	293.3 KiB

Length

Max length	49
Median length	37
Mean length	16.723265
Min length	1

Characters and Unicode

Total characters	61458
Distinct characters	40
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	316 ?
Unique (%)	8.6%

Sample

1st row	signature global city
2nd row	bptp terra
3rd row	ambience lagoon
4th row	malibu towne
5th row	independent

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.7%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
mm	152	1.6%
global	152	1.6%
signature	149	1.6%
heights	134	1.4%
Other values (762)	7365	77.2%

Most occurring characters

Value	Count	Frequency (%)
e	6707	10.9%
	5883	9.6%
a	5857	9.5%
r	4168	6.8%
n	4161	6.8%
i	3829	6.2%
t	3718	6.0%
s	3471	5.6%
l	2941	4.8%
o	2753	4.5%
Other values (30)	17970	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55437	90.2%
Space Separator	5883	9.6%
Decimal Number	120	0.2%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6707	12.1%
a	5857	10.6%
r	4168	7.5%
n	4161	7.5%
i	3829	6.9%
t	3718	6.7%
s	3471	6.3%
l	2941	5.3%
o	2753	5.0%
d	2487	4.5%
Other values (16)	15345	27.7%

Decimal Number

Value	Count	Frequency (%)
1	41	34.2%
2	35	29.2%
3	12	10.0%
4	11	9.2%
6	7	5.8%
5	5	4.2%
8	4	3.3%
7	4	3.3%
9	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	5883	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55437	90.2%
Common	6021	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6707	12.1%
a	5857	10.6%
r	4168	7.5%
n	4161	7.5%
i	3829	6.9%
t	3718	6.7%
s	3471	6.3%
l	2941	5.3%
o	2753	5.0%
d	2487	4.5%
Other values (16)	15345	27.7%

Common

Value	Count	Frequency (%)
	5883	97.7%
1	41	0.7%
2	35	0.6%
3	12	0.2%
4	11	0.2%
-	8	0.1%
6	7	0.1%
,	7	0.1%
5	5	0.1%
8	4	0.1%
Other values (4)	8	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6707	10.9%
	5883	9.6%
a	5857	9.5%
r	4168	6.8%
n	4161	6.8%
i	3829	6.2%
t	3718	6.0%
s	3471	5.6%
l	2941	4.8%
o	2753	4.5%
Other values (30)	17970	29.2%

sector
Text

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.8 KiB

Length

Max length	26
Median length	9
Mean length	9.3210011
Min length	7

Characters and Unicode

Total characters	34264
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 92
2nd row	sector 37d
3rd row	sector 24
4th row	sector 47
5th row	sector 7

Value	Count	Frequency (%)
sector	3451	46.8%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (106)	2914	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3806	11.1%
	3704	10.8%
s	3696	10.8%
r	3696	10.8%
e	3541	10.3%
c	3502	10.2%
t	3462	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6197	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23293	68.0%
Decimal Number	7267	21.2%
Space Separator	3704	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3806	16.3%
s	3696	15.9%
r	3696	15.9%
e	3541	15.2%
c	3502	15.0%
t	3462	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1076	14.8%
0	804	11.1%
8	780	10.7%
9	763	10.5%
6	742	10.2%
7	684	9.4%
2	676	9.3%
3	665	9.2%
5	593	8.2%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3704	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23293	68.0%
Common	10971	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3806	16.3%
s	3696	15.9%
r	3696	15.9%
e	3541	15.2%
c	3502	15.0%
t	3462	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Common

Value	Count	Frequency (%)
	3704	33.8%
1	1076	9.8%
0	804	7.3%
8	780	7.1%
9	763	7.0%
6	742	6.8%
7	684	6.2%
2	676	6.2%
3	665	6.1%
5	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34264	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3806	11.1%
	3704	10.8%
s	3696	10.8%
r	3696	10.8%
e	3541	10.3%
c	3502	10.2%
t	3462	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6197	18.1%

price
Real number (ℝ)

HIGH CORRELATION

Distinct	548
Distinct (%)	15.0%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336776

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.980614
Coefficient of variation (CV)	1.1763983
Kurtosis	14.933534
Mean	2.5336776
Median Absolute Deviation (MAD)	0.7205
Skewness	3.2791947
Sum	9273.2601
Variance	8.8840599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
1.1	62	1.7%
0.9	61	1.7%
1.4	60	1.6%
1.3	57	1.6%
2	52	1.4%
0.95	50	1.4%
1.6	48	1.3%
Other values (538)	3062	83.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.175	1	< 0.1%
0.19	1	< 0.1%
0.2	7	0.2%
0.205	1	< 0.1%
0.21	6	0.2%
0.22	8	0.2%
0.235	1	< 0.1%
0.24	5	0.1%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

HIGH CORRELATION

Distinct	2651
Distinct (%)	72.4%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
6666	13	0.4%
11111	13	0.4%
22222	13	0.4%
8333	12	0.3%
7500	12	0.3%
33333	11	0.3%
Other values (2641)	3509	95.5%
(Missing)	16	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1286
Distinct (%)	35.1%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	2888.391

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1230
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1070

Descriptive statistics

Standard deviation	23167.349
Coefficient of variation (CV)	8.0208494
Kurtosis	942.0538
Mean	2888.391
Median Absolute Deviation (MAD)	533
Skewness	29.731446
Sum	10571511
Variance	5.3672607 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	50	1.4%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
900	39	1.1%
2700	39	1.1%
2000	33	0.9%
2250	25	0.7%
1300	25	0.7%
Other values (1276)	3262	88.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	1	< 0.1%
65261	1	< 0.1%
64655	1	< 0.1%

areaWithType
Text

Distinct	2354
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.1 KiB

Length

Max length	124
Median length	119
Mean length	54.241839
Min length	12

Characters and Unicode

Total characters	199393
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1848 ?
Unique (%)	50.3%

Sample

1st row	Super Built up area 1010(93.83 sq.m.)Carpet area: 700 sq.ft. (65.03 sq.m.)
2nd row	Super Built up area 2191(203.55 sq.m.)
3rd row	Super Built up area 3200(297.29 sq.m.)Carpet area: 3156 sq.ft. (293.2 sq.m.)
4th row	Built Up area: 1600 (148.64 sq.m.)
5th row	Plot area 477(44.31 sq.m.)

Value	Count	Frequency (%)
area	5572	18.5%
sq.m	3654	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	682	2.3%
plot	681	2.3%
Other values (2844)	8698	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26460	13.3%
.	20385	10.2%
a	13151	6.6%
r	9454	4.7%
e	9318	4.7%
1	9203	4.6%
s	7566	3.8%
q	7430	3.7%
t	7323	3.7%
u	6770	3.4%
Other values (25)	82333	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82746	41.5%
Decimal Number	47126	23.6%
Space Separator	26460	13.3%
Other Punctuation	23401	11.7%
Uppercase Letter	8592	4.3%
Close Punctuation	5534	2.8%
Open Punctuation	5534	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13151	15.9%
r	9454	11.4%
e	9318	11.3%
s	7566	9.1%
q	7430	9.0%
t	7323	8.8%
u	6770	8.2%
p	6766	8.2%
m	5543	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9203	19.5%
0	6628	14.1%
2	5687	12.1%
5	4712	10.0%
3	3959	8.4%
4	3711	7.9%
6	3673	7.8%
7	3252	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1871	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20385	87.1%
:	3016	12.9%

Space Separator

Value	Count	Frequency (%)
	26460	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5534	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5534	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108055	54.2%
Latin	91338	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13151	14.4%
r	9454	10.4%
e	9318	10.2%
s	7566	8.3%
q	7430	8.1%
t	7323	8.0%
u	6770	7.4%
p	6766	7.4%
m	5543	6.1%
l	3701	4.1%
Other values (10)	14316	15.7%

Common

Value	Count	Frequency (%)
	26460	24.5%
.	20385	18.9%
1	9203	8.5%
0	6628	6.1%
2	5687	5.3%
)	5534	5.1%
(	5534	5.1%
5	4712	4.4%
3	3959	3.7%
4	3711	3.4%
Other values (5)	16242	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26460	13.3%
.	20385	10.2%
a	13151	6.6%
r	9454	4.7%
e	9318	4.7%
1	9203	4.6%
s	7566	3.8%
q	7430	3.7%
t	7323	3.7%
u	6770	3.4%
Other values (25)	82333	41.3%

bedRoom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3604461

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8977544
Coefficient of variation (CV)	0.56473288
Kurtosis	18.210248
Mean	3.3604461
Median Absolute Deviation (MAD)	1
Skewness	3.484914
Sum	12353
Variance	3.6014718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	941	25.6%
4	660	18.0%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	941	25.6%
3	1496	40.7%
4	660	18.0%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4249184

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9481914
Coefficient of variation (CV)	0.56882856
Kurtosis	17.540029
Mean	3.4249184
Median Absolute Deviation (MAD)	1
Skewness	3.2486068
Sum	12590
Variance	3.7954497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1046	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1046	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.1 KiB

3+	1172
3	1073
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3188248
Min length	1

Characters and Unicode

Total characters	4848
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3+
3rd row	3+
4th row	3+
5th row	2

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1073	29.2%
2	884	24.0%
1	365	9.9%
0	182	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2245	61.1%
2	884	24.0%
1	365	9.9%
0	182	5.0%

Most occurring characters

Value	Count	Frequency (%)
3	2245	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2245	61.1%
2	884	24.0%
1	365	9.9%
0	182	5.0%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4848	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2245	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2245	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

ZEROS

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7971014

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0128748
Coefficient of variation (CV)	0.88462337
Kurtosis	4.516579
Mean	6.7971014
Median Absolute Deviation (MAD)	3
Skewness	1.6942871
Sum	24857
Variance	36.154663
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	936	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	258.1 KiB

North-East	623
East	622
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8392246
Min length	4

Characters and Unicode

Total characters	17994
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South-East
2nd row	North-East
3rd row	North
4th row	East
5th row	North-West

Common Values

Value	Count	Frequency (%)
North-East	623	16.9%
East	622	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.3%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	623	23.7%
east	622	23.6%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3773	21.0%
s	2013	11.2%
o	1760	9.8%
h	1760	9.8%
E	1418	7.9%
a	1418	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13079	72.7%
Uppercase Letter	3773	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3773	28.8%
s	2013	15.4%
o	1760	13.5%
h	1760	13.5%
a	1418	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1418	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16852	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3773	22.4%
s	2013	11.9%
o	1760	10.4%
h	1760	10.4%
E	1418	8.4%
a	1418	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17994	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3773	21.0%
s	2013	11.2%
o	1760	9.8%
h	1760	9.8%
E	1418	7.9%
a	1418	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.4 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.384657
Min length	9

Characters and Unicode

Total characters	49202
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Under Construction
2nd row	Relatively New
3rd row	Old Property
4th row	New Property
5th row	Old Property

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	265	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.4%
property	896	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	265	3.8%
construction	265	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8430	17.1%
l	4721	9.6%
t	3635	7.4%
	3370	6.8%
y	3105	6.3%
r	2885	5.9%
d	2306	4.7%
N	2239	4.6%
w	2239	4.6%
i	2217	4.5%
Other values (15)	14055	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38786	78.8%
Uppercase Letter	7046	14.3%
Space Separator	3370	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8430	21.7%
l	4721	12.2%
t	3635	9.4%
y	3105	8.0%
r	2885	7.4%
d	2306	5.9%
w	2239	5.8%
i	2217	5.7%
a	2209	5.7%
o	1989	5.1%
Other values (7)	5050	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2239	31.8%
R	1646	23.4%
P	896	12.7%
O	866	12.3%
U	571	8.1%
M	563	8.0%
C	265	3.8%

Space Separator

Value	Count	Frequency (%)
	3370	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45832	93.2%
Common	3370	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8430	18.4%
l	4721	10.3%
t	3635	7.9%
y	3105	6.8%
r	2885	6.3%
d	2306	5.0%
N	2239	4.9%
w	2239	4.9%
i	2217	4.8%
a	2209	4.8%
Other values (14)	11846	25.8%

Common

Value	Count	Frequency (%)
	3370	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49202	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8430	17.1%
l	4721	9.6%
t	3635	7.4%
	3370	6.8%
y	3105	6.3%
r	2885	5.9%
d	2306	4.7%
N	2239	4.6%
w	2239	4.6%
i	2217	4.5%
Other values (15)	14055	28.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1801
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.6
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
1578	25	0.7%
2000	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
1350	17	0.5%
Other values (583)	1634	44.5%
(Missing)	1801	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1986
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1986	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	732
Distinct (%)	39.1%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2530.2228

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	845
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	945

Descriptive statistics

Standard deviation	22805.887
Coefficient of variation (CV)	9.0133909
Kurtosis	604.21426
Mean	2530.2228
Median Absolute Deviation (MAD)	470
Skewness	24.326755
Sum	4734046.9
Variance	5.2010849 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (722)	1577	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	2971
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3676	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

servant room
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	2348
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2348	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2348	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2348	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2348	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3676	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2348	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2348	63.9%
1	1328	36.1%

store room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	3338
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3676	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	3020
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3676	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	3271
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3676	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	2415
2	1055
1	206

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	2
4th row	2
5th row	0

Common Values

Value	Count	Frequency (%)
0	2415	65.7%
2	1055	28.7%
1	206	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2415	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	2415	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3676	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2415	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3676	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2415	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2415	65.7%
2	1055	28.7%
1	206	5.6%

luxury_score
Real number (ℝ)

ZEROS

Distinct	160
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.234494

Minimum	0
Maximum	174
Zeros	480
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	58
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.278756
Coefficient of variation (CV)	0.74793478
Kurtosis	-0.8893174
Mean	71.234494
Median Absolute Deviation (MAD)	38
Skewness	0.45765497
Sum	261858
Variance	2838.6258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	480	13.1%
49	347	9.4%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (150)	2295	62.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	480	13.1%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.274	0.111	0.130	0.000	0.000	0.091	0.126	0.214	0.260	0.108	0.187	0.102	0.056	0.379	0.286	0.142	0.140	0.086
area	0.000	1.000	0.011	0.687	0.624	0.835	0.801	0.022	0.116	0.043	0.260	0.042	0.037	0.744	0.206	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.225	0.176	0.000	0.026	0.017	0.079	0.178	0.225	0.082	0.197	0.136	0.033	0.214	0.441	0.146	0.183	0.306
bathroom	0.111	0.687	0.225	1.000	0.862	0.465	0.599	0.044	-0.004	0.198	0.183	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	0.130	0.624	0.176	0.862	1.000	0.380	0.568	0.032	-0.103	0.167	0.062	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.800
built_up_area	0.000	0.835	0.000	0.465	0.380	1.000	0.969	1.000	0.091	0.088	0.291	0.000	0.000	0.604	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.599	0.568	0.969	1.000	0.000	0.159	0.000	0.237	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.002	0.894
facing	0.091	0.022	0.017	0.044	0.032	1.000	0.000	1.000	0.000	0.049	0.065	0.000	0.029	0.021	0.000	0.094	0.035	0.036	0.000	0.000
floorNum	0.126	0.116	0.079	-0.004	-0.103	0.091	0.159	0.000	1.000	0.016	0.225	0.033	0.102	0.001	-0.126	0.485	0.084	0.112	0.078	0.152
furnishing_type	0.214	0.043	0.178	0.198	0.167	0.088	0.000	0.049	0.016	1.000	0.245	0.059	0.216	0.175	0.022	0.080	0.270	0.156	0.141	0.134
luxury_score	0.260	0.260	0.225	0.183	0.062	0.291	0.237	0.065	0.225	0.245	1.000	0.177	0.191	0.213	0.050	0.320	0.350	0.229	0.184	0.223
others	0.108	0.042	0.082	0.070	0.079	0.000	0.016	0.000	0.033	0.059	0.177	1.000	0.033	0.034	0.036	0.026	0.000	0.106	0.031	0.084
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.029	0.102	0.216	0.191	0.033	1.000	0.334	0.043	0.252	0.252	0.305	0.313	0.157
price	0.102	0.744	0.136	0.720	0.681	0.604	0.613	0.021	0.001	0.175	0.213	0.034	0.334	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	0.056	0.206	0.033	0.411	0.417	0.132	0.136	0.000	-0.126	0.022	0.050	0.036	0.043	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.094	0.485	0.080	0.320	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	1.000
servant room	0.286	0.015	0.441	0.520	0.317	0.000	0.000	0.035	0.084	0.270	0.350	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.584
store room	0.142	0.039	0.146	0.244	0.223	0.000	0.000	0.036	0.112	0.156	0.229	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.046
study room	0.140	0.018	0.183	0.176	0.154	0.000	0.002	0.000	0.078	0.141	0.184	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	0.121
super_built_up_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.000	0.152	0.134	0.223	0.084	0.157	0.772	0.287	1.000	0.584	0.046	0.121	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	pooja room	others	furnishing_type	luxury_score
0	flat	signature global city	sector 92	0.78	7722.0	1010.0	Super Built up area 1010(93.83 sq.m.)Carpet area: 700 sq.ft. (65.03 sq.m.)	2	2	3	2.0	NaN	Under Construction	1010.0	NaN	700.0	0	0	0	1	0	24
1	flat	bptp terra	sector 37d	1.72	7850.0	2191.0	Super Built up area 2191(203.55 sq.m.)	3	3	3+	10.0	South-East	Relatively New	2191.0	NaN	NaN	0	1	0	0	0	31
2	flat	ambience lagoon	sector 24	4.25	13281.0	3200.0	Super Built up area 3200(297.29 sq.m.)Carpet area: 3156 sq.ft. (293.2 sq.m.)	3	4	3+	3.0	North-East	Old Property	3200.0	NaN	3156.0	0	1	1	0	2	143
3	house	malibu towne	sector 47	8.50	53125.0	1600.0	Built Up area: 1600 (148.64 sq.m.)	12	12	3+	4.0	North	New Property	NaN	1600.0	NaN	0	0	0	0	2	99
4	house	independent	sector 7	0.89	18658.0	477.0	Plot area 477(44.31 sq.m.)	5	3	2	2.0	East	Old Property	NaN	477.0	NaN	0	0	0	0	0	8
5	flat	pioneer park	sector 61	2.00	11764.0	1700.0	Super Built up area 1700(157.94 sq.m.)	3	3	3	24.0	North-West	Moderately Old	1700.0	NaN	NaN	0	0	0	0	2	75
6	flat	dlf the primus	sector 82a	1.80	13846.0	1300.0	Super Built up area 1818(168.9 sq.m.)Carpet area: 1300 sq.ft. (120.77 sq.m.)	3	3	3+	10.0	North-East	Relatively New	1818.0	NaN	1300.0	0	1	0	0	1	174
7	flat	maruti vihar	sector 28	1.00	9090.0	1100.0	Super Built up area 1100(102.19 sq.m.)	1	1	1	1.0	North	Old Property	1100.0	NaN	NaN	1	0	1	0	2	80
8	flat	mm woodshire	sector 107	0.80	5856.0	1366.0	Super Built up area 1366(126.91 sq.m.)Carpet area: 1055 sq.ft. (98.01 sq.m.)	2	2	3+	6.0	West	Relatively New	1366.0	NaN	1055.0	0	0	1	0	2	174
9	flat	bestech park view residency	sector 2	1.51	7869.0	1919.0	Super Built up area 1920(178.37 sq.m.)	3	4	3+	7.0	South-West	Moderately Old	1920.0	NaN	NaN	0	1	0	0	2	84

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
3791	flat	dlf regal gardens	sector 90	1.260	7636.0	1650.0	Super Built up area 1744(162.02 sq.m.)Built Up area: 1650 sq.ft. (153.29 sq.m.)	3	3	2	12.0	North	Relatively New	1744.0	1650.0	NaN	0	0	0	0	1	0	8
3793	flat	prasha apartments	manesar	0.750	3309.0	2267.0	Super Built up area 2115(196.49 sq.m.)	3	3	3+	3.0	West	Moderately Old	2115.0	NaN	NaN	0	1	0	0	0	0	31
3794	flat	mm merlin	sector 67	2.900	14167.0	2047.0	Super Built up area 2047(190.17 sq.m.)	3	3	3	0.0	West	Relatively New	2047.0	NaN	NaN	0	0	0	0	1	2	49
3795	house	international city by sobha phase 2	sector 109	7.000	12963.0	5400.0	Plot area 600(501.68 sq.m.)	4	4	3+	2.0	West	Relatively New	NaN	5400.0	NaN	0	0	0	0	0	2	102
3796	flat	adani mk oyster grande	sector 102	2.610	10046.0	2598.0	Super Built up area 2598(241.36 sq.m.)Built Up area: 2200 sq.ft. (204.39 sq.m.)Carpet area: 2000 sq.ft. (185.81 sq.m.)	3	3	3	14.0	North-East	Relatively New	2598.0	2200.0	2000.0	1	1	0	0	0	0	21
3797	flat	hcbs sports ville	sohna road	0.269	4345.0	619.0	Built Up area: 619 (57.51 sq.m.)	2	2	2	10.0	NaN	Relatively New	NaN	619.0	NaN	0	0	0	0	0	0	43
3798	flat	ireo victory valley	sector 67	3.650	13528.0	2698.0	Super Built up area 2698(250.65 sq.m.)Built Up area: 2490 sq.ft. (231.33 sq.m.)	3	4	3+	18.0	North	Relatively New	2698.0	2490.0	NaN	0	1	0	1	0	2	61
3799	house	independent	sector 11	2.100	17284.0	1215.0	Plot area 135(112.88 sq.m.)	6	6	3+	3.0	NaN	Relatively New	NaN	1215.0	NaN	0	0	0	0	0	0	14
3800	flat	ramprastha the edge towers	sector 37d	0.750	5319.0	1410.0	Built Up area: 1410 (130.99 sq.m.)	2	2	3	19.0	NaN	Moderately Old	NaN	1410.0	NaN	0	0	0	0	0	0	63
3801	house	independent	sector 26	18.400	1859.0	98978.0	Plot area 502(419.74 sq.m.)Carpet area: 11000 sq.yards (9197.4 sq.m.)	6	8	3+	4.0	South	Relatively New	NaN	NaN	11000.0	0	1	1	1	0	2	60

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category